EpiEstim [1]} is a popular method for estimation of the reproduction number \(R_t\)  based on case incidence as well as imported cases. It does however not allow for the incorporation of multiple data, so that hospital data are not taken into account, nor mobility. In Figure REF  we compare estimates of \(R_t\)  obtained by our SMC approach, though only using test data and this time from the start of the epidemic, with the results obtained by using the EpiEstim package in R [2]}. For EpiEstim we assumed a serial interval (the time between the onset of symptoms of a primary case and the onset of symptoms of secondary cases) with mean 7.5 days and a standard deviation of 3 days. We see a very good agreement between the two estimated curves in general. However, the confidence bands are much narrower for EpiEstim. There are some differences between the estimates in March 2020 and during the summer 2020 and in November 2020.
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